• 沒有找到結果。

In conclusions,

1. There are differences between normal and MVPS, and the most significant posture is sitting position.

2. In short-term HRV, it is prefer frequency domain analyze than time domain analyze.

3. There are differences between male and female whether in normal or MVPS, especially in frequency domain.

4. Both MVPS and normal cases are affected by postural changes.

Different machines and software were used to analyze in different researches, so there is no official standard normal value in HRV. We hope this study will help to build the database in Taiwanese.

According to 1996 ACC/AHA/ESC consensus[1], short term HRV is suit for frequency domain parameters to analyze. HF presents how parasympathetic nerves control heart rate, LF presents activity of sympathetic nerves and LF/HF presents the balance between sympathetic and parasympathetic nerves.

Normal group and symptomatic MVPS can be significantly differentiated by Time domain‟s SDNN and Frequency domain‟s Total Power. And there are significantly

statistically different of frequency domain HRV parameters in sitting position.

MVPS patients‟ ECGs show the changing ST-T wave[10][11] so their sympathetic nerves are more active than normal people. But in this study result show that normal data is lower than MVPS data in HF, and higher than MVPS in LF. That is to say, sympathetic system is more active in normal than in MVPS. But if it classifies into male and female, then the result in female would be normal group‟s HF is higher than MVPS group, and LF is lower. For female, vagal nerves are more active in normal than in MVPS, and it is the same with clinical study. Male has no significant

difference between normal and MVPS. Maybe it is because male data is not enough and the data has extreme values.

The results show the statistically changing of ANS in MVPS cases. In clinical use, we should consider of not only the analysis of Ultrasound, but also nerve system of patients.

Gender specific HRV variation had been reported in our previous study in normal

Taiwanese[108]. It is further strengthened the digenetic criteria for HRV should be gender specific in MVPS as well. Although the results show that time domain parameters might not be of use for the evaluation MVPS, frequency domain with postural changes might be a useful tool in MVPS diagnosis risk stratification in Taiwanese.

ANS was affected by female hormones, so in female, sympathetic tone will decline and parasympathetic will elevate if comparing with male[109]. Although time domain parameters have no statistically difference could be refer, but in frequency domain, the parameters show that female is higher than male in HF, and is lower in LF and LF/HF ratio. It conforms to our suppose whether in normal group or in MVPS group.

There is no significant difference between lying and sitting posture, but between lying and standing, which have bigger difference in posture, the data exist significant difference. It shows that postural changes will affect ANS, whether in normal group or MVPS group. So it might be implied that postural changes should be included in the future HRV research both on symptomatic MVPS and normal controls.

In lying posture has the higher RR interval. That means it has a lower heart rate and

will have higher SDNN value. That result is the same with the result from Gamelin FX and the group[111]. In frequency domain parameters, lying posture is the highest in HF and the lowest in LF both in normal and MVPS group; whereas standing posture is the lowest in HF and the highest in LF. It means when people in lying posture, their parasympathetic nerves are more active than sympathetic nerves. On the contrary, sympathetic nerves have more activity in standing position.

Our normal cases resource is the university in Hsin-Chu area, and MVPS cases are the patients mostly from hospital in Taipei area. So most normal cases are in 20 ~ 25 years old range, and MVPS cases are in 30 ~ 60 years old range. In the future, we should set an age level group for 10 years to classify the data. We already know in normal case, the older one has a lower HRV value. We also need to collect more data in every age level, especially male in MVPS.

This study is trying to build a HRV standard value for Taiwanese. Nowadays

researches are mostly for Caucasian and African[110]. There is rarely for Asian, even for Taiwanese. People live in different area and environment might have different factor to affect their ANS, and different ethnicity may have some differences in their ANS in nature. Use the standard for Caucasian in other race is not a good choice.

Although Taiwan has no broad land, but there are many mountains. Numerous people live in the high altitude place, and they might be one of our case. This factor that where the case live in flat or in mountain might affect their ANS. In future work, maybe we should consider this factor and collect more cases to prove this suppose.

The HRV measurements are processing form 9:00 A.M to 4:00 P.M, this period might be too long for HRV study because of the diurnal of ANS in humans. Maybe we can try to shorten the experimental time to reduce the mistakes. But also we need more data to be collected that we can exactly classify the data.

Height and weight might also affect the HRV results. The gender different of HRV might not only affected by female hormone, but BMI value. In the future work, we can try to classify data with BMI.

General to say, compared to female, male have more exercise habits. Exercises will also affect HRV results. And we should notice in what vocations the cases are. Some particular jobs need to work at night, and some student groups are used to stay night.

Diurnal is also an important changing factor in ANS. Besides, some people may have great pressure about their jobs, academic performance or their own personal

relationship problems. Mental situation will also affect ANS activity. When people are happy or exited, sympathetic tone is more active. And when they are in low tension, that parasympathetic tone is more active than sympathetic tone. Before we process the test, we should have a discussion with our cases about their life style to make sure the errors are reduced to minimum.

Reference

1. “Heart rate variability. Standards of measurement, physiological interpretation,

and clinical use. Task for of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology”. European Heart Journal, 17,

pp. 354–81, 1996.

2. John Zhang. “Effect of Age and Sex on Heart Rate Variability in Healthy Subject”, Journal of Manipulative and Physiological Therapeutics, Volume 30, Issue 5, PP.

374–379, June 2007.

3. Sato N, Miyake S. “Cardiovascular reactivity to mental stress: relationship with menstrual cycle and gender”, Journal of Physiological Anthropology and Applied Human Science, 23, pp. 215-23, 2004.

4. Wolf MM, Varigos GA, Hunt D, et al. “Sinus arrhythmia in acute myocardial infarction”. Medical Journal Australia, 2, pp. 52–3, 1978.

5. Buchanan M. “Fascinating rhythm”. New Scientist, 3, pp. 20–25, January 1998.

6. Lin JL, Chan HL, Du CC, et al. “Long-term beta-blocker therapy improves

autonomic nervous regulation in advanced congestive heart failure: a longitudinal heart rate variability study”. American Journal of Cardiology, 137, pp. 658–65,

1999.

7. Pousset F, Copie X, Lechat P, et al. “Effects of bisoprolol on heart rate variability in heart failure”. American Journal of Cardiology, 77, pp. 612–17, 1996.

8. Pruvot E, Thonet G, Vesin JM, et al. “Heart rate dynamics at the onset of ventricular tachyarrhythmias as retrieved from implantable

cardioverter-defibrillators in patients with coronary artery disease”, Circulation, 101, pp. 2398–404, 2000.

9. FA Gaffney, ES Karlsson, WCampbell, JE Schutte, JV Nixon, JT Willerson and

CG Blomqvist. “Autonomic Dysfunction in Women with Mitral Valve Prolapse Syndrome”. Circulation, 59, pp. 894-901, 1979.

10. Devereux RB, Perloff JK, Reichek N, Josephson ME. “Mitral valve prolapsed”,

Circulation, 54, pp. 3, 1976.

11. Jeresaty RM. “Mitral valve prolapse-click syndrome: etiology, clinical findings, and therapy”, Journal of Cardiovascular Medicine, 3, pp. 597, 1978.

12. Yueh Chen, Ching-Shiun Chang, Chia-Chun Lu, Ming-Ju Tsai, Yu-Shan Chen,

Ing-Fang Yang, Ten-Fang Yang. “Postural Changes Influences on Heart Rate Variability in an apparently healthy Taiwanese population”. The 37th

International Congress on Electrocardiology (ICE). Lund, Sweden. June 3-5,

2010. P31, p103. Journal of Electrocardiology Vol. 44, Issue 2, Pp. e42-e44.

13. Holmgren A, Jonsson B, Levander M, Linderholm H, Sjostrand T, Strom G. “Low

physical working capacity in suspected heart cases due to inadequate adjustment of peripheral blood flow (vasoregulatory asthenia)”, Acta Medical Scand, 158, pp.

413, 1957.

14. AM Dart, XJ Du, BA. Kingwell. “Gender, sex hormones and autonomic nervous control of the cardiovascular system”, Cardiovascular Research, 53, pp. 678–687,

2002.

15. Del Rio G, Verlardo A, Zizzo G, Marrama P, Della Casa L. “Sex differences in

catecholamine response to clonidine”. International Journal of Obesity and

Related Metabolic Disorders, 17, pp. 465-469, 1993.

16. Gleim GW, Stachenfeld NS, Coplan NL. “Nicholas J.A. Gender differences in the

systolic blood pressure response to exercise”, American Heart Journal, 121, pp.

524-530, 1991.

17. Ng AV, Callister R, Johnson DG, Seals DR. “Age and gender influence muscle

sympathetic nerve activity at rest in healthy humans”, Hypertension, 21, pp.

498-503, 1993.

18. Yamasaki Y, Kodama M, Matsuhisa M, et al. “Diurnal heart rate variability in

healthy subjects: effects of aging and sex difference”. American Journal of Physiology, 271, pp. H303-H310, 1996.

19. Kuo TB, Lin T, Yang CC, Li CL, Chen CF, Chou P. “Effect of aging on gender differences in neural control of heart rate”. American Journal of Physiology, 277,

pp. H2233-H2239, 1999.

20. Gregoire J, Tuck S, Yamamoto Y, Hughson RL. “Heart rate variability at rest and

exercise: influence of age, gender, and physical training”. Canadian Journal of

Applied Physiology, 21, pp. 455-470, 1996.

21. Ryan SM, Goldberger AL, Pincus SM, Mietus J, Lipsitz LA. “Gender- and

age-related differences in heart rate dynamics: are women more complex than men?” Journal of the American College of Cardiology, 24, pp. 1700-1707, 1994.

22. Matsukawa T, Sugiyama Y, Watanabe T, Kobayashi F, Mano T. “Gender

difference in age-related changes in muscle sympathetic nerve activity in healthy subjects”, American Journal of Physiology, 275, pp. R1600-R1604, 1998.

23. Kuo TB, Lin T, Yang CC, Li CL, Chen CF, Chou P. “Effect of aging on gender

differences in neural control of heart rate”, American Journal of Physiology, 277, pp. H2233-H2239, 1999.

24. MJ. REED, et al. “Heart rate variability measurements and the prediction of ventricular arrhythmias”, The Quarterly journal of medicine, 98, pp. 87-95, 2005.

25. Draper HW, CJ Peffer, FW Stallmann, D Littmann, HV Pipberger, “The corrected

orthogonal electrocardiogram and vectorcardiogram in 510 normal men (Frank lead system)”, Circulation, 30, pp. 853-864, 1964.

26. Cornfield J, RA Dunn, CD Batchlor, HV Pipberger. “Multigroup diagnosis of electrocardiograms”, Computers and Biomedical Research, 6, pp. 97-120, 1973.

27. Peter W. Macfarlane , Comprehensive Electrocardiology, London: Springer, 2011.

28. Simonson E. Differentiation Between Normal and Abnormal in

Electrocardiography. St. Louis,MI:Mosby, 1961.

29. Yang TF. “Artificial neural networks in computerised electrocardiography”, PhD thesis of University of Glasgow; pp. 35-41, 1994.

30. Wilson FN, Johnston FD, Macleod AG, Barker PS. “Electrocardiograms that represent the potential variations of a single electrode”, American Heart Journal, 9, pp. 447-71, 1934.

31. Horan LG. “The quest for optimal electrocardiography”, American Journal of Cardiology, 41, pp.126 - 129, January 1978.

32. Brucell HB. “A centencial note on Waller and the first human electrocardiogram”, American Journal of Cardiology, 59, pp. 979 - 983, 1987.

33. Fisch C. “The clinical electrocardiogram: Aclassic”, Circulation, 62, pp. 1 – 4, 1980.

34. Snellen HA. A history of Cardiology, Rotterdam: Donker, 1984.

35. Kölliker A, Müller H. “Nachweis der negative Schwankung des Muskelstroms am natürlich sich contrahirenden Muskel”, Verh. Phys. Med. Ges. Wurzburg, 6,

pp. 528 - 533, 1856.

36. Marey EJ. “Des variations electriques des muscles et du coeur enparticular etudies au moyen de l‟electrometre de M. Lippmann”, Academy of Sciences of

the Czech Republic, 82, pp. 975 - 977, 1876.

37. Waller AD. “A demonstration on man of electromotive changes accornpanying the heart‟s beat”, Journal of Physiology, 8, pp. 229 - 234, 1887.

38. Einthoven W. “The differnet forms of the human electrocardiogram and their signification”, The Lancet, pp. 853 - 861, 1912.

39. Einthoven W, Fahr G & Waart A. “Uber die Richtung und die manifeste Grosse der Potentialschwankungen im menschlichen Herzen und uber den Einfluss der Herzlage auf die Form des ElektroKardiogramms”, Pfluegers Arch, 150, pp. 275 - 315, 1913. (Translation: Hoff HE & Sekeji E, American Hear Journal, 40, 163-194, 1950)

40. Einthoven W, “Die galvanometrische Registrirung des menschlichen Elektrokardiogramms, zugleich eine Beurtheilung der Anwendung des Capilar-Elekrometers in der Physiologie”, Pfluegers Arch, 99, pp. 472 - 480, 1903.

41. Hoffmann I, Hambu RI. Vectorcardiography 2, North-Holland Piblishing Company: Amsterdam & London, 1971.

42. Snellen HA. “Thomas Lewis and cardiology in Europe”, British Heart Journal, 46, pp. 121 - 125, 1981.

43. Wilson FN, Johnston FD, MacLeod AG, Backer PS. “Electrocardiograms that represent the potential variations of a single electrode”, American Heart Journal,

9, pp. 447 - 458, 1934.

44. Jaakko Malmivuo, Robert Plonsey. Bioelectromagnetism - Principles and Applications of Bioelectric and Biomagnetic Fields, Oxford University Press, New York, 1995.

45. Kossmann CE, Johnston FD. “The precordial electrocardiogram”, American Heart Journal, 10, pp. 925 - 941, 1935.

46. Goldberger E. “A simple, indiffernet, electrocardiographic electrode of zero potential and a technique of obtaining augmented, unipolar, extremity leads”,

American Heart Journal, 23, pp. 483 - 492, 1942.

47. MacDonald Matthew. Your Body: The Missing Manual. Sebastopol, CA: Pogue Press, 2009.

48. Marieb, Elaine Nicpon. Human Anatomy & Physiology (6th ed.), Upper Saddle River: Pearson Education, 2003.

49. Chung MK, Rich MW. “Introduction to the cardiovescular system”, Alcohol Health and Research World, 14, pp. 269 - 276, 1990.

50. C Guyton, John E Hall. Textbook of Medical Physiology, eleventh edition, Elsevier Inc., USA, 2006.

51. Kowey P, Yan GX. “Ventricular repolarization components on the electrocardiogram”, Journal of the American College of Cardiology, 42(3), pp.

401-409, 2003.

52. Houghton AR, Gray D. Making Sense of the ECG Third Edition, Hodder Education, pp. 214, 2012.

53. EB Sgarbossa, SS Barold, SL Pinski, GS Wagner. “Twelve-lead electrocardiogram: The advantages of an orderly frontal lead display including lead –aVR”. Journal of Electrocardiology, Vol. 37, Issue 3, July, pp. 141–147, 2004.

54. Hon EH, Lee ST. “Electronic evaluations of the fetal heart rate patterns preceding fetal death, further observations”. American Journal of Obstetrics and

Gynecology, 87, pp. 814-26, 1965.

55. Ewing DJ, Martyn CN, Young RJ, Clarke BF. “The value of cardiovascular autonomic function tests: 10 years experience in diabetes”. Diabetes Care. 8 pp.

491-8, 1985.

56. Wolf MM, Varigos GA, Hunt D, et al. “Sinus arrhythmia in acute myocardial infarction”. Medical Journal of Australia, 2, pp. 52-3, 1978.

57. Bigger JT Jr, Fleiss JL, Steinman RC, Rolnitzky LM. Kleiger RE, Rottman JN.

“Frequency domain measures of heart period variability and mortality after myocardial infarction”, Circulation. 85, pp. 164-71, 1993.

58. Kleiger RE, Miller JP, Bigger JT Jr, Moss AJ. “Decreased heart rate variability and its association with increased mortality after acute myocardial infarction”,

American Journal Cardiololy, 59, pp. 256-62, 1987.

59. Malik M, Farrell T, Cripps T, Camm AJ. “Heart rate variability in relation to

prognosis after myocardial infarction: selection of optimal processing techniques”, European Heart Journal, 10, pp. 1060-74, 1989.

60. Akselrod S, Gordon D, Ubel FA, Shannon DC, Barger AC, Cohen RJ. “Power

spectrum analysis of heart rate fluctuation: a quantitative probe of beat to beat cardiovascular control”. Science, 213, pp. 220-2, 1981.

61. Dougherty CM, Burr RL. “Comparison of heart rate variability in survivors and nonsurvivors of sudden cardiac arrest”, American Journal of Cardiologym, 70, pp.

441-8, 1992.

62. Algra A, Tijssen JG, Roelandt JR, et al. “Heart rate variability from 24-hour electrocardiography and the 2 year risk for sudden death”, Circulation. 88, pp.

180-5, 1993.

63. MacArthur research network. Allostatic load notebook: Parasympathetic Function. University of California, San Francisco, 1999.

64. Brodal P. The Central Nervous System: Structure and Function (3 ed.), Oxford University Press US, pp. 369-396, 2004.

65. Sherwood, Lauralee. Human Physiology: From Cells to Systems (7 ed.). Cengage Learning, pp. 240, 2008.

66. Drake, Richard L, Vogl Wayne, Mitchell, Adam WM. Gray's Anatomy for Students (1 ed.). Elsevier, pp. 76-84, 2005.

67. Rang, HP, Dale MM, Ritter JM, Flower RJ. Rang and Dale's Pharmacology (6 ed.), Elsevier, pp. 135, 2007.

68. Moore KL, Agur AM. Essential Clinical Anatomy: Third Edition. Baltimore:

Lippincott Williams & Wilkins, pp. 34-35, 2007.

69. Wank SA. “Cholecystokinin receptors”, American Journal of Physiology, 269, pp.

G628-G646. 1995.

70. Takai N, Shida T, Uchihashi K, Ueda Y, Yoshida Y. “Cholecystokinin as

Neurotransmitter and Neuromodulator in Parasympathetic Secretion in the Rat Submandibular Gland”, Annals of the New York Academy of Sciences, 842, pp.

199-203, 1998.

71. Saul JP, Albrecht P, Berger RD, Cohen RJ. “Analysis of long term heart rate variability: methods, 1/f scaling and implications”, IEEE Computer Society press,

Washington, pp. 419-22, 1998.

72. Malik M, Xia R, Odemuyiwa O, Staunton A, Poloniecki J, Camm AJ. “Influence

of the recognition artefact in the automatic analysis of long-term

electrocardiograms on timedomain measurement of heart rate variability”

Medical & Biological Engineering & Computing, 31, pp. 539-44, 1993.

73. MJ REED, et al. “Heart rate variability measurements and the prediction of ventricular arrhythmias”, The Quarterly journal of medicine, 98, pp. 87-95, 2005.

74. Kay SM, Marple, SL. “Spectrum analysis - A modern perspective”, Proceedings of the IEEE, 69, pp. 1380-1419, November 1981.

75. Furlan R, Guzetti S, Crivellaro W et al. “Continuous 24-hour assessment of the

neural regulation of systemic arterial pressure and RR variabilities in ambulant subjects”. Circulation. 81, pp. 537-47, 1990.

76. Addison PS. The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance. Bristol, Institute of Physics Publishing, 1992.

77. Sayers BM. “Analysis of heart rate variability”, Ergonomics, 16, pp. 17-32, 1973.

78. P Brodal. The Central Nervous System: Structure and Function , 3rd edition, Oxford University Press US. pp. 369-396, 2004.

79. C. Guyton, John E. Hall, Textbook of Medical Physiology, Eleventh, Elsevier Inc., U.S., 2006.

80. Abdel Wahab M, Khattab AA, Toelg R, et al. “Plaque characteristics of

nonobstructive coronary lesions in diabetic patients: an intravascular ultrasound virtual histology analysis”, Journal of Cardiovascular Medicine (Hagerstown), 11,

pp. 345-351, 2010.

81. Borejda Xhyheri, Olivia Manfrini, Massimiliano Mazzolini, Carmine Pizzi, Raffaele Bugiardini. “Heart Rate Variability Today”, Cardiovascular Diseases, Vol. 55, 3, pp. 321-331, 2012.

82. Whang W, Bigger Jr JT. “Comparison of the prognostic value of RR interval variability after acute myocardial infarction in patients with versus those without diabetes mellitus”, American Journal of Cardiololy, 92, pp. 247-251, 2003.

83. Pozzati A, Pancaldi LG, Di Pasquale G, et al. “Transient sympathovagal

imbalance triggers "ischemic" sudden death in patients undergoing

electrocardiographic Holter monitoring”, Journal of the American College of

Cardiology, 27, pp. 847-852, 1996.

84. Valkama JO, Huikuri HV, Koistinen MJ, et al. “Relation between heart rate

variability and spontaneous and induced ventricular arrhythmias in patients with coronary artery disease”. Journal of the American College of Cardiology. 25, pp.

437-443, 1995.

85. Camm AJ, Pratt CM, Schwartz PJ, et al. “AzimiLide post Infarct surVival

Evaluation (ALIVE) Investigators; Mortality in patients after a recent myocardial infarction: a randomized, placebocontrolled trial of azimilide using heart rate variability for risk stratification”, Circulation, 109, pp. 990-996, 2004.

86. Giammaria M, Bruna C, Gnavi R. “Sezione Piemontese of the Associazione

Italiana di Aritmologia e Cardiostimolazione. Trend in implantable cardioverter defibrillators and relation to need”, Journal of Cardiovascular Medicine

(Hagerstown), 11, pp. 265-270, 2010.

87. Zipes DP, Wellens HJJ. “Sudden cardiac death”, Circulation, 98, pp. 2334-2351, 1998.

88. Kearney MT, Fox KA, Lee AJ, et al. “Predicting death due to progressive heart failure in patients with mild-to-moderate chronic heart failure”, Journal of the

American College of Cardiology, 40, pp. 1801-1808, 2002.

89. La Rovere MT, Pinna GD, Maestri R, et al. “Short-term heart rate variability strongly predicts sudden cardiac death in chronic heart failure patients”, Circulation, 107, pp. 565-570, 2003.

90. Sandercock GR, Brodie DA. “The role of heart rate variability in prognosis for different modes of death in chronic heart failure”, Pacing and Clinical

Electrophysiology, 29, pp. 892-904, 2006.

91. Freed LA, Levy D, Levine RA, Larson MG, Evans JC, Fuller DL, Lehman B, Benjamin EJ. “Prevalence and clinical outcome of mitral-valve prolapsed”, New England Journal of Medicine, 341 (1), pp. 1–7, 1999.

92. Hayek E, Gring CN, Griffin BP. “Mitral valve prolapsed”, Lancet 365 (9458), pp.

507–18, 2005.

93. Barlow JB, Bosman CK. “Aneurysmal protrusion of the posterior leaflet of the mitral valve. An auscultatory-electrocardiographic syndrome”, American Heart Journal, 71 (2), pp. 166–78, 1966.

94. Criley JM, Lewis KB, Humphries JO, Ross RS. “Prolapse of the mitral valve:

clinical and cine-angiocardiographic findings”, British Heart Journal 28 (4), pp.

488–96, 1966.

95. Playford D, Weyman A. “Mitral valve prolapse: time for a fresh look”, Reviews in Cardiovascular Medicine 2 (2), pp. 73–81, 2001.

96. Weis AJ, Salcedo EE, Stewart WJ, Lever HM, Klein AL, Thomas JD. “Anatomic

explanation of mobile systolic clicks: mplications for the clinical and

explanation of mobile systolic clicks: mplications for the clinical and

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